# coding=utf-8
# Copyright 2024 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Usage instructions.

    First download the omniglot dataset
    and put the contents of both images_background and images_evaluation in
    data/omniglot/ (without the root folder)

    Then, run the following:
    cd data/
    cp -r omniglot/* omniglot_resized/
    cd omniglot_resized/
    python resize_images.py
"""
import glob
from PIL import Image

image_path = '*/*/'

all_images = glob.glob(image_path + '*')

i = 0

for image_file in all_images:
  im = Image.open(image_file)
  im = im.resize((28, 28), resample=Image.LANCZOS)
  im.save(image_file)
  i += 1

  if i % 200 == 0:
    print(i)
